updated the workshop from gpt-4o-mini to gpt-4o

Author: gloveboxes

docs/docs/en/about.md

@@ -1,6 +1,6 @@
 ## Models required for Zava DIY
 
-- gpt-4o-mini
+- gpt-4o
 - text-embedding-small-3
 
 ## Synthetic Data Generation for Zava DIY

docs/docs/es/about.md

@@ -1,6 +1,6 @@
 ## Modelos requeridos para Zava DIY
 
-- gpt-4o-mini
+- gpt-4o
 - text-embedding-small-3
 
 ## Generación de Datos Sintéticos para Zava DIY

docs/docs/includes/en/introduction-event.md

@@ -13,7 +13,7 @@ The following resources are pre-provisioned in your lab Azure subscription:
 - A resource group named **rg-zava-agent-wks-nnnnnnnn**
 - An **Azure AI Foundry hub** named **fdy-zava-agent-wks-nnnnnnnn**
 - An **Azure AI Foundry project** named **prj-zava-agent-wks-nnnnnnnn**
-- Two models are deployed: **gpt-4o-mini** and **text-embedding-3-small**. [See pricing.](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/){:target="\_blank"}
+- Two models are deployed: **gpt-4o** and **text-embedding-3-small**. [See pricing.](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/){:target="\_blank"}
 - Azure Database for PostgreSQL Flexible Server (B1ms Burstable 32GB) database named **pg-zava-agent-wks-nnnnnnnn**. [See pricing](https://azure.microsoft.com/pricing/details/postgresql/flexible-server){:target="\_blank"}
 - Application Insights resource named **appi-zava-agent-wks-nnnnnnnn**. [See pricing](https://azure.microsoft.com/pricing/calculator/?service=monitor){:target="\_blank"}
 

docs/docs/includes/en/introduction-self-guided.md

@@ -124,11 +124,11 @@ This deployment creates the following resources in your Azure subscription.
 - A resource group named **rg-zava-agent-wks-nnnnnnnn**
 - An **Azure AI Foundry hub** named **fdy-zava-agent-wks-nnnnnnnn**
 - An **Azure AI Foundry project** named **prj-zava-agent-wks-nnnnnnnn**
-- Two models are deployed: **gpt-4o-mini** and **text-embedding-3-small**. [See pricing.](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/){:target="\_blank"}
+- Two models are deployed: **gpt-4o** and **text-embedding-3-small**. [See pricing.](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/){:target="\_blank"}
 - Application Insights resource named **appi-zava-agent-wks-nnnnnnnn**. [See pricing](https://azure.microsoft.com/pricing/calculator/?service=monitor){:target="\_blank"}
 - To keep workshop costs low, PostgreSQL runs in a local container within your Codespace or Dev Container rather than as a cloud service. See [Azure Database for PostgreSQL Flexible Server](https://azure.microsoft.com/en-us/products/postgresql){:target="\_blank"} to learn about options for a managed PostgreSQL service.
 
-!!! warning "Ensure you have at least the following model quotas" - 120K TPM quota for the gpt-4o-mini Global Standard SKU, as the agent makes frequent model calls. - 50K TPM for the text-embedding-3-small model Global Standard SKU. - Check your quota in the [AI Foundry Management Center](https://ai.azure.com/managementCenter/quota){:target="\_blank"}."
+!!! warning "Ensure you have at least the following model quotas" - 120K TPM quota for the gpt-4o Global Standard SKU, as the agent makes frequent model calls. - 50K TPM for the text-embedding-3-small model Global Standard SKU. - Check your quota in the [AI Foundry Management Center](https://ai.azure.com/managementCenter/quota){:target="\_blank"}."
 
 ### Automated Deployment
 

docs/docs/includes/es/introduction-event.md

@@ -13,7 +13,7 @@ Los siguientes recursos están pre-provisionados en tu suscripción de Azure del
 - Un grupo de recursos llamado **rg-zava-agent-wks-nnnnnnnn**
 - Un **hub de Azure AI Foundry** llamado **fdy-zava-agent-wks-nnnnnnnn**
 - Un **proyecto de Azure AI Foundry** llamado **prj-zava-agent-wks-nnnnnnnn**
-- Dos modelos están desplegados: **gpt-4o-mini** y **text-embedding-3-small**. [Ver precios.](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/){:target="\_blank"}
+- Dos modelos están desplegados: **gpt-4o** y **text-embedding-3-small**. [Ver precios.](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/){:target="\_blank"}
 - Base de datos de Azure Database for PostgreSQL Flexible Server (B1ms Burstable 32GB) llamada **pg-zava-agent-wks-nnnnnnnn**. [Ver precios](https://azure.microsoft.com/pricing/details/postgresql/flexible-server){:target="\_blank"}
 - Recurso Application Insights llamado **appi-zava-agent-wks-nnnnnnnn**. [Ver precios](https://azure.microsoft.com/pricing/calculator/?service=monitor){:target="\_blank"}
 

docs/docs/includes/es/introduction-self-guided.md

@@ -124,11 +124,11 @@ Este despliegue crea los siguientes recursos en tu suscripción de Azure.
 - Un grupo de recursos llamado **rg-zava-agent-wks-nnnnnnnn**
 - Un **hub de Azure AI Foundry** llamado **fdy-zava-agent-wks-nnnnnnnn**
 - Un **proyecto de Azure AI Foundry** llamado **prj-zava-agent-wks-nnnnnnnn**
-- Dos modelos están desplegados: **gpt-4o-mini** y **text-embedding-3-small**. [Ver precios.](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/){:target="\_blank"}
+- Dos modelos están desplegados: **gpt-4o** y **text-embedding-3-small**. [Ver precios.](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/){:target="\_blank"}
 - Recurso Application Insights llamado **appi-zava-agent-wks-nnnnnnnn**. [Ver precios](https://azure.microsoft.com/pricing/calculator/?service=monitor){:target="\_blank"}
 - Para mantener bajos los costos del taller, PostgreSQL se ejecuta en un contenedor local dentro de tu Codespace o Dev Container en lugar de como un servicio en la nube. Ve [Azure Database for PostgreSQL Flexible Server](https://azure.microsoft.com/en-us/products/postgresql){:target="\_blank"} para aprender sobre las opciones para un servicio PostgreSQL administrado.
 
-!!! warning "Asegúrate de tener al menos las siguientes cuotas de modelo" - Cuota de 120K TPM para el SKU Global Standard de gpt-4o-mini, ya que el agente hace llamadas frecuentes al modelo. - 50K TPM para el modelo text-embedding-3-small SKU Global Standard. - Verifica tu cuota en el [Centro de Gestión de AI Foundry](https://ai.azure.com/managementCenter/quota){:target="\_blank"}."
+!!! warning "Asegúrate de tener al menos las siguientes cuotas de modelo" - Cuota de 120K TPM para el SKU Global Standard de gpt-4o, ya que el agente hace llamadas frecuentes al modelo. - 50K TPM para el modelo text-embedding-3-small SKU Global Standard. - Verifica tu cuota en el [Centro de Gestión de AI Foundry](https://ai.azure.com/managementCenter/quota){:target="\_blank"}."
 
 ### Despliegue Automatizado
 

infra/deploy.ps1

@@ -67,7 +67,7 @@ if (Test-Path $ENV_FILE_PATH) { Remove-Item -Path $ENV_FILE_PATH -Force }
 @"
 PROJECT_ENDPOINT=$PROJECTS_ENDPOINT
 AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT
-GPT_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+GPT_MODEL_DEPLOYMENT_NAME="gpt-4o"
 EMBEDDING_MODEL_DEPLOYMENT_NAME="text-embedding-3-small"
 APPLICATIONINSIGHTS_CONNECTION_STRING="$APPLICATIONINSIGHTS_CONNECTION_STRING"
 AZURE_TRACING_GEN_AI_CONTENT_RECORDING_ENABLED="true"
@@ -91,7 +91,7 @@ if (Test-Path $RESOURCES_FILE_PATH) { Remove-Item -Path $RESOURCES_FILE_PATH -Fo
 $CSHARP_PROJECT_PATH = "../src/csharp/McpAgentWorkshop.AppHost/McpAgentWorkshop.AppHost.csproj"
 if (Test-Path $CSHARP_PROJECT_PATH) {
     dotnet user-secrets set "Parameters:FoundryEndpoint" "$PROJECTS_ENDPOINT" --project "$CSHARP_PROJECT_PATH"
-    dotnet user-secrets set "Parameters:ChatModelDeploymentName" "gpt-4o-mini" --project "$CSHARP_PROJECT_PATH"
+    dotnet user-secrets set "Parameters:ChatModelDeploymentName" "gpt-4o" --project "$CSHARP_PROJECT_PATH"
     dotnet user-secrets set "Parameters:EmbeddingModelDeploymentName" "text-embedding-3-small" --project "$CSHARP_PROJECT_PATH"
     dotnet user-secrets set "Parameters:AzureOpenAIEndpoint" "$AZURE_OPENAI_ENDPOINT" --project "$CSHARP_PROJECT_PATH"
     dotnet user-secrets set "Parameters:FoundryProjectName" "$AI_PROJECT_NAME" --project "$CSHARP_PROJECT_PATH"

infra/deploy.sh

@@ -60,7 +60,7 @@ mkdir -p "$(dirname "$ENV_FILE_PATH")"
 {
   echo "PROJECT_ENDPOINT=$PROJECTS_ENDPOINT"
   echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT"
-  echo "GPT_MODEL_DEPLOYMENT_NAME=\"gpt-4o-mini\""
+  echo "GPT_MODEL_DEPLOYMENT_NAME=\"gpt-4o\""
   echo "EMBEDDING_MODEL_DEPLOYMENT_NAME=\"text-embedding-3-small\""
   echo "APPLICATIONINSIGHTS_CONNECTION_STRING=\"$APPLICATIONINSIGHTS_CONNECTION_STRING\""
   echo "AZURE_TRACING_GEN_AI_CONTENT_RECORDING_ENABLED=\"true\""
@@ -88,7 +88,7 @@ CSHARP_PROJECT_PATH="../src/csharp/McpAgentWorkshop.AppHost/McpAgentWorkshop.App
 # Set the user secrets for the C# project (if the project exists)
 if [ -f "$CSHARP_PROJECT_PATH" ]; then
   dotnet user-secrets set "Parameters:FoundryEndpoint" "$PROJECTS_ENDPOINT" --project "$CSHARP_PROJECT_PATH"
-  dotnet user-secrets set "Parameters:ChatModelDeploymentName" "gpt-4o-mini" --project "$CSHARP_PROJECT_PATH"
+  dotnet user-secrets set "Parameters:ChatModelDeploymentName" "gpt-4o" --project "$CSHARP_PROJECT_PATH"
   dotnet user-secrets set "Parameters:EmbeddingModelDeploymentName" "text-embedding-3-small" --project "$CSHARP_PROJECT_PATH"
   dotnet user-secrets set "Parameters:AzureOpenAIEndpoint" "$AZURE_OPENAI_ENDPOINT" --project "$CSHARP_PROJECT_PATH"
   dotnet user-secrets set "Parameters:FoundryProjectName" "$AI_PROJECT_NAME" --project "$CSHARP_PROJECT_PATH"

infra/main.bicep

@@ -19,7 +19,7 @@ param tags object = {}
 @description('Array of models to deploy')
 param models array = [
   {
-    name: 'gpt-4o-mini'
+    name: 'gpt-4o'
     format: 'OpenAI'
     version: '2024-07-18'
     skuName: 'GlobalStandard'

infra/main.parameters.json

@@ -14,7 +14,7 @@
     "models": {
       "value": [
         {
-          "name": "gpt-4o-mini",
+          "name": "gpt-4o",
           "format": "OpenAI",
           "version": "2024-07-18",
           "skuName": "GlobalStandard",